US9043133B2 - Navigation systems and associated methods - Google Patents
Navigation systems and associated methods Download PDFInfo
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- US9043133B2 US9043133B2 US13/977,559 US201113977559A US9043133B2 US 9043133 B2 US9043133 B2 US 9043133B2 US 201113977559 A US201113977559 A US 201113977559A US 9043133 B2 US9043133 B2 US 9043133B2
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- G09B29/00—Maps; Plans; Charts; Diagrams, e.g. route diagram
Definitions
- navigation systems typically track the location of a vehicle and display the location along with map data in a human-readable format. Additionally, navigation systems typically output visual and audio directions associated with a mapped route.
- the directions output by conventional navigation systems are typically based on distances and street names. For example, a driver may be instructed to “turn right onto Main Street in 100 feet.”
- a user may have difficulty in maintaining a desired course based upon these conventional instructions. For example, a street name may not be clearly marked, thereby increasing a likelihood that a user turns onto the wrong street. Accordingly, there is an opportunity for improved systems and methods for generating descriptive outputs associated with navigation directions.
- FIG. 2 is a flow diagram of an example method for generating and outputting natural language outputs.
- computer-readable medium describes any form of suitable memory or memory device for retaining information in any form, including various kinds of storage devices (e.g., magnetic, optical, static, etc.). Indeed, various embodiments of the disclosure may be implemented in a wide variety of suitable forms.
- the I/O interfaces 115 may facilitate communication between the processors 105 and any number of suitable input and/or output devices.
- suitable input devices 125 include, but are not limited to, one or more image sensors 155 (e.g., a camera, etc.), any number of other sensors 160 (e.g., infrared sensors, light sensors, range finders, etc.), one or more microphones 165 and/or other suitable audio capture devices, and/or any number of suitable input elements (e.g., buttons, knobs, touch screen displays, etc.).
- suitable output devices include, but are not limited to, one or more speech synthesizers 167 and/or associated speakers and/or one or more suitable displays 168 .
- the contextual information modules 176 may include any number of suitable software modules and/or applications that facilitate the collection and/or evaluation of a wide variety of contextual information.
- a contextual information module 176 may be configured to receive information from one or more sources (e.g., the input devices 125 , the data sources 140 , the vehicle applications 145 , the network applications 150 , etc.), and the contextual information module 176 may evaluate the received information in order to determine contextual information to be provided to the natural language modules 174 and/or the navigation modules 175 .
- a user may be identified based upon determining a pairing between the vehicle and a user device (e.g., a mobile device, etc.) or a personalized smart key, and/or based upon the receipt and evaluation of user identification information (e.g., a personal identification number, etc.) entered by the user.
- a user device e.g., a mobile device, etc.
- user identification information e.g., a personal identification number, etc.
- a wide variety of natural language outputs other than navigation outputs may be generated and output.
- a location of a vehicle and/or contextual data e.g., image data associated with an external environment, etc.
- Natural language outputs associated with a point of interest e.g., identification information for a point of interest, fun facts associated with the point of interest, questions regarding the point of interest, etc.
- a wide variety of other user-independent information, as well as various user-dependent information may be evaluated in order to generate a natural language output.
- At block 525 at least one natural language output may be generated based at least in part upon the user identities, user-specific information, user-independent information, and/or user preferences. The at least one generated output may then be output for presentation to the one or more users at block 530 .
- a natural language output may be personalized or customized for one or more users. For example, if two adults are identified as being present in a vehicle, then an output appropriate for adults may be generated. As another example, if a child is identified as being present, then an output appropriate for a child (e.g., an output based upon a comprehension level of the child) may be generated.
- the method 500 may end following block 540 .
- FIG. 6 is a flow diagram of an example method 600 for managing an interactive game between a plurality of vehicles.
- the natural language outputs generated by the method 600 are one example of the outputs that may be generated by the method 200 of FIG. 2 . Accordingly, the operations of the method 600 may be performed by a suitable natural language system and/or one or more associated modules and/or applications, such as the system 100 and/or the associated modules 174 , 175 , 176 illustrated in FIG. 1 .
- the method 600 may begin at block 605 .
- a wide variety of information associated with a game may be identified or determined, such as contextual information, historical information, and/or trivia information.
- information associated with points of interest may be obtained based upon the locations of one or more of the vehicles.
- information associated with the vehicular environment may be determined based upon a wide variety of image data. Other types of game information may also be obtained as desired.
- the method 600 may end following block 645 .
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WO2013101045A1 (fr) | 2011-12-29 | 2013-07-04 | Intel Corporation | Systèmes de navigation et procédés associés |
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US20180266842A1 (en) * | 2015-01-09 | 2018-09-20 | Harman International Industries, Incorporated | Techniques for adjusting the level of detail of driving instructions |
US10302444B2 (en) * | 2015-01-30 | 2019-05-28 | Sony Corporation | Information processing system and control method |
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US10012514B2 (en) | 2015-05-08 | 2018-07-03 | Here Global B.V. | Determination of a spatial avoidance location |
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Also Published As
Publication number | Publication date |
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WO2013101045A1 (fr) | 2013-07-04 |
US20180143032A1 (en) | 2018-05-24 |
US20180120120A1 (en) | 2018-05-03 |
US20140236472A1 (en) | 2014-08-21 |
US9651395B2 (en) | 2017-05-16 |
US10222225B2 (en) | 2019-03-05 |
US10222226B2 (en) | 2019-03-05 |
US20180094945A1 (en) | 2018-04-05 |
US10222227B2 (en) | 2019-03-05 |
US20180120121A1 (en) | 2018-05-03 |
US20160018237A1 (en) | 2016-01-21 |
US10753760B2 (en) | 2020-08-25 |
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